Azure Data Engineer

We are seeking an experienced Azure Data Engineer with expertise in machine learning (ML) and Snowflake. The ideal candidate will have a strong background in designing, developing, and maintaining scalable data solutions on the Azure cloud platform, integrating machine learning models, and working with Snowflake data warehousing solutions.
Key Responsibilities: Design, build, and maintain scalable and reliable data pipelines using Azure Data Factory, Databricks, and Synapse Analytics.Implement and optimise data solutions in Snowflake, focusing on performance and scalability.Collaborate with data scientists and ML engineers to integrate machine learning models into the data pipeline and support model deployment and monitoring.Develop and manage data workflows and transformations using Azure Data Lake and Azure Databricks.Ensure data quality and integrity by implementing robust data validation and monitoring mechanisms.Optimise and troubleshoot Snowflake environments, ensuring efficient data storage and query performance.Collaborate with cross-functional teams to deliver data engineering solutions that support business needs.Work closely with stakeholders to understand data requirements and translate them into technical solutions.Qualifications: 5+ years of experience as a Data Engineer, specifically with Azure cloud services.Strong experience with Snowflake for data warehousing and ETL pipelines.Hands-on experience in implementing and deploying machine learning models within data solutions.Proficient with Azure Data Factory, Azure Synapse Analytics, and Azure Databricks.Experience in programming languages such as Python and SQL.Familiarity with data orchestration tools like Airflow or similar.Experience with version control tools such as Git.Strong problem-solving and communication skills, with the ability to collaborate effectively with technical and non-technical teams.
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